1、创建工程
scrapy startproject tencent
2、创建项目
scrapy genspider mahuateng
3、既然保存到数据库,自然要安装pymsql
pip install pymysql
4、settings文件,配置信息,包括数据库等

# -*- coding: utf-8 -*-
# Scrapy settings for tencent project
#
# For simplicity, this file contains only settings considered important or
# commonly used. You can find more settings consulting the documentation:
#
# https://doc.scrapy.org/en/latest/topics/settings.html
# https://doc.scrapy.org/en/latest/topics/downloader-middleware.html
# https://doc.scrapy.org/en/latest/topics/spider-middleware.html
BOT_NAME = 'tencent'
SPIDER_MODULES = ['tencent.spiders']
NEWSPIDER_MODULE = 'tencent.spiders'
LOG_LEVEL="WARNING"
LOG_FILE="./qq.log"
# Crawl responsibly by identifying yourself (and your website) on the user-agent
USER_AGENT = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.131 Safari/537.36'
# Obey robots.txt rules
#ROBOTSTXT_OBEY = True
# Configure maximum concurrent requests performed by Scrapy (default: 16)
#CONCURRENT_REQUESTS = 32
# Configure a delay for requests for the same website (default: 0)
# See https://doc.scrapy.org/en/latest/topics/settings.html#download-delay
# See also autothrottle settings and docs
#DOWNLOAD_DELAY = 3
# The download delay setting will honor only one of:
#CONCURRENT_REQUESTS_PER_DOMAIN = 16
#CONCURRENT_REQUESTS_PER_IP = 16
# Disable cookies (enabled by default)
#COOKIES_ENABLED = False
# Disable Telnet Console (enabled by default)
#TELNETCONSOLE_ENABLED = False
# Override the default request headers:
#DEFAULT_REQUEST_HEADERS = {
# 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
# 'Accept-Language': 'en',
#}
# Enable or disable spider middlewares
# See https://doc.scrapy.org/en/latest/topics/spider-middleware.html
#SPIDER_MIDDLEWARES = {
# 'tencent.middlewares.TencentSpiderMiddleware': 543,
#}
# Enable or disable downloader middlewares
# See https://doc.scrapy.org/en/latest/topics/downloader-middleware.html
#DOWNLOADER_MIDDLEWARES = {
# 'tencent.middlewares.TencentDownloaderMiddleware': 543,
#}
# Enable or disable extensions
# See https://doc.scrapy.org/en/latest/topics/extensions.html
#EXTENSIONS = {
# 'scrapy.extensions.telnet.TelnetConsole': None,
#}
# Configure item pipelines
# See https://doc.scrapy.org/en/latest/topics/item-pipeline.html
ITEM_PIPELINES = {
'tencent.pipelines.TencentPipeline': 300,
}
# Enable and configure the AutoThrottle extension (disabled by default)
# See https://doc.scrapy.org/en/latest/topics/autothrottle.html
#AUTOTHROTTLE_ENABLED = True
# The initial download delay
#AUTOTHROTTLE_START_DELAY = 5
# The maximum download delay to be set in case of high latencies
#AUTOTHROTTLE_MAX_DELAY = 60
# The average number of requests Scrapy should be sending in parallel to
# each remote server
#AUTOTHROTTLE_TARGET_CONCURRENCY = 1.0
# Enable showing throttling stats for every response received:
#AUTOTHROTTLE_DEBUG = False
# Enable and configure HTTP caching (disabled by default)
# See https://doc.scrapy.org/en/latest/topics/downloader-middleware.html#httpcache-middleware-settings
#HTTPCACHE_ENABLED = True
#HTTPCACHE_EXPIRATION_SECS = 0
#HTTPCACHE_DIR = 'httpcache'
#HTTPCACHE_IGNORE_HTTP_CODES = []
#HTTPCACHE_STORAGE = 'scrapy.extensions.httpcache.FilesystemCacheStorage'
# 连接数据MySQL
# 数据库地址
MYSQL_HOST = 'localhost'
# 数据库用户名:
MYSQL_USER = 'root'
# 数据库密码
MYSQL_PASSWORD = 'yang156122'
# 数据库端口
MYSQL_PORT = 3306
# 数据库名称
MYSQL_DBNAME = 'test'
# 数据库编码
MYSQL_CHARSET = 'utf8'
5、items.py文件定义数据字段

# -*- coding: utf-8 -*-
# Define here the models for your scraped items
#
# See documentation in:
# https://doc.scrapy.org/en/latest/topics/items.html
import scrapy
class TencentItem(scrapy.Item):
"""
数据字段定义
"""
postId = scrapy.Field()
recruitPostId = scrapy.Field()
recruitPostName = scrapy.Field()
countryName = scrapy.Field()
locationName = scrapy.Field()
categoryName = scrapy.Field()
lastUpdateTime = scrapy.Field()
pass
6、mahuateng.py文件主要是抓取数据

# -*- coding: utf-8 -*-
import scrapy
import json
import logging
class MahuatengSpider(scrapy.Spider):
name = 'mahuateng'
allowed_domains = ['careers.tencent.com']
start_urls = ['https://careers.tencent.com/tencentcareer/api/post/Query?timestamp=1561688387174&countryId=&cityId=&bgIds=&productId=&categoryId=&parentCategoryId=40003&attrId=&keyword=&pageIndex=1&pageSize=10&language=zh-cn&area=cn']
pageNum = 1
def parse(self, response):
"""
数据获取
:param response:
:return:
"""
content = response.body.decode()
content = json.loads(content)
content=content['Data']['Posts']
#删除空字典
for con in content:
#print(con)
for key in list(con.keys()):
if not con.get(key):
del con[key]
#记录每一个岗位信息
# for con in content:
# yield con
#print(type(con))
yield con
#logging.warning(con)
#####翻页######
self.pageNum = self.pageNum+1
if self.pageNum<=118:
next_url = "https://careers.tencent.com/tencentcareer/api/post/Query?timestamp=1561688387174&countryId=&cityId=&bgIds=&productId=&categoryId=&parentCategoryId=40003&attrId=&keyword=&pageIndex="+str(self.pageNum)+"&pageSize=10&language=zh-cn&area=cn"
yield scrapy.Request(
next_url,
callback=self.parse
)
7、pipelines.py文件主要是对数据进行处理,包括将数据存储到mysql

# -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html
import logging
from pymysql import cursors
from twisted.enterprise import adbapi
import time
# from tencent.settings import MYSQL_HOST
# from tencent.settings import MYSQL_USER
# from tencent.settings import MYSQL_PASSWORD
# from tencent.settings import MYSQL_PORT
# from tencent.settings import MYSQL_DBNAME
#
# from tencent.settings import MYSQL_CHARSET
import copy
class TencentPipeline(object):
#函数初始化
def __init__(self,db_pool):
self.db_pool=db_pool
@classmethod
def from_settings(cls,settings):
"""类方法,只加载一次,数据库初始化"""
db_params = dict(
host=settings['MYSQL_HOST'],
user=settings['MYSQL_USER'],
password=settings['MYSQL_PASSWORD'],
port=settings['MYSQL_PORT'],
database=settings['MYSQL_DBNAME'],
charset=settings['MYSQL_CHARSET'],
use_unicode=True,
# 设置游标类型
cursorclass=cursors.DictCursor
)
# 创建连接池
db_pool = adbapi.ConnectionPool('pymysql', **db_params)
# 返回一个pipeline对象
return cls(db_pool)
def process_item(self, item, spider):
"""
数据处理
:param item:
:param spider:
:return:
"""
myItem={}
myItem["postId"] = item["PostId"]
myItem["recruitPostId"] = item["RecruitPostId"]
myItem["recruitPostName"] = item["RecruitPostName"]
myItem["countryName"] = item["CountryName"]
myItem["locationName"] = item["LocationName"]
myItem["categoryName"] = item["CategoryName"]
myItem["lastUpdateTime"] = item["LastUpdateTime"]
logging.warning(myItem)
# 对象拷贝,深拷贝 --- 这里是解决数据重复问题!!!
asynItem = copy.deepcopy(myItem)
# 把要执行的sql放入连接池
query = self.db_pool.runInteraction(self.insert_into, asynItem)
# 如果sql执行发送错误,自动回调addErrBack()函数
query.addErrback(self.handle_error, myItem, spider)
return myItem
# 处理sql函数
def insert_into(self, cursor, item):
# 创建sql语句
sql = "INSERT INTO tencent (postId,recruitPostId,recruitPostName,countryName,locationName,categoryName,lastUpdateTime) VALUES ('{}','{}','{}','{}','{}','{}','{}')".format(
item['postId'], item['recruitPostId'], item['recruitPostName'], item['countryName'], item['locationName'],
item['categoryName'],item['lastUpdateTime'])
# 执行sql语句
cursor.execute(sql)
# 错误函数
def handle_error(self, failure, item, spider):
# #输出错误信息
print("failure", failure)
8、创建数据库表
Navicat MySQL Data Transfer Source Server : 本机 Source Server Version : 50519 Source Host : localhost:3306 Source Database : test Target Server Type : MYSQL Target Server Version : 50519 File Encoding : 65001 Date: 2019-06-28 12:47:06 */ SET FOREIGN_KEY_CHECKS=0; -- ---------------------------- -- Table structure for tencent -- ---------------------------- DROP TABLE IF EXISTS `tencent`; CREATE TABLE `tencent` ( `id` int(10) NOT NULL AUTO_INCREMENT, `postId` varchar(100) DEFAULT NULL, `recruitPostId` varchar(100) DEFAULT NULL, `recruitPostName` varchar(100) DEFAULT NULL, `countryName` varchar(100) DEFAULT NULL, `locationName` varchar(100) DEFAULT NULL, `categoryName` varchar(100) DEFAULT NULL, `lastUpdateTime` varchar(100) DEFAULT NULL, PRIMARY KEY (`id`) ) ENGINE=InnoDB AUTO_INCREMENT=1181 DEFAULT CHARSET=utf8;
完美收官!
来源:https://www.cnblogs.com/ywjfx/p/11102081.html
